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APPLIEDPHYSICAL Missing and spurious interactions and the
 

Summary: APPLIEDPHYSICAL
SCIENCES
Missing and spurious interactions and the
reconstruction of complex networks
Roger Guimerāa,1
and Marta Sales-Pardoa,b,c
a
Department of Chemical and Biological Engineering and b
Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208; and
c
Northwestern University Clinical and Translational Science Institute, Northwestern University, Chicago, IL 60611
Edited by H. Eugene Stanley, Boston University, Boston, MA, and approved October 26, 2009 (received for review July 24, 2009)
Network analysis is currently used in a myriad of contexts, from
identifying potential drug targets to predicting the spread of
epidemics and designing vaccination strategies and from finding
friends to uncovering criminal activity. Despite the promise of
the network approach, the reliability of network data is a source
of great concern in all fields where complex networks are stud-
ied. Here, we present a general mathematical and computational
framework to deal with the problem of data reliability in com-

  

Source: Amaral, Luis A.N. - Department of Chemical and Biological Engineering, Northwestern University

 

Collections: Physics; Biology and Medicine